Partition function for the two-dimensional square lattice Ising model in a non-zero magnetic field-A heuristic analysis
G. Nandhini, M. V. Sangaranarayanan

TL;DR
This paper presents a heuristic analysis to approximate the partition function of the 2D square lattice Ising model with a non-zero magnetic field, aligning with Onsager's solution when the field is zero.
Contribution
It introduces a heuristic method to estimate the partition function for the 2D Ising model under non-zero magnetic fields, extending Onsager's exact solution.
Findings
Partition function estimates match Onsager's solution at zero magnetic field
Heuristic approach provides approximate solutions for non-zero magnetic fields
Method offers insights into the model's behavior under external magnetic influences
Abstract
The exact partition function of the two-dimensional nearest neighbour Ising model pertaining to square lattices is derived for N sites in the case of a non-vanishing magnetic field.When the magnetic field is zero,the partition functions estimated from the present analysis are identical with those arising from Onsager's exact solution.
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
